Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

Toolbox for Emotion Analysis using Physiological signals

Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.

The library is useful for analyzing the emotions present in any audio file(call/music/recordings) into three classes namely positive, negative, neutral.

Python code to extract features from Protein sequences for Machine Learning/Deep Learning

Projet-PI-4DS2

Compute cosine similarity with VGG16 and ResNet50

Detection of Object-Based Forgery in Advanced Video

Project is about detecting spliced images using extracted features of image and SVM classifier.

Reproducible research code for the experiments presented in our article "Kara1k: a karaoke dataset for cover song identification and singing voice analysis" published at IEEE ISM 2017

Feature extraction, HMMs, Neural Nets, and Boosting for Kaggle Cornell Whale detection challenge.

A tool for extraction of lexical features from text based on UIMA and MapReduce

Create a Lane Finding pipeline that finds lane lines on the road

Grid features extraction for ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"

Vehicle detection on images and video for Self-Driving Car Engineer Nanodegree program

大学本科毕业设计

A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models

DBP-PSSM

Code for paper titled, "BSite-pro: A Novel Approach for Binding Site Prediction in Protein Sequences".

The NPM package to perform statistical models on any text and extract specific features